In this notebook we conduct exploratory factor analyses (EFAs) on the datasets for our studies of concepts of mental life, in which each participants judged the various mental capacities of a particular target entity. We analyze datasets for adults and children from each of our five field sites: the US, Ghana, Thailand, China, and Vanuatu.
This notebook contains the results presented in the main text, in which we use Pearson correlations with our three-point response scale (no = 0, kinda = 0.5, yes = 1); see supplemental analyses for a version of these analyses treating kinda = yes = 1 and using tetrachoric correlations.
Parallel analysis suggests that the number of factors = 3 and the number of components = 2
[1] 3
Parallel analysis suggests that the number of factors = 3 and the number of components = 2
[1] 3
Parallel analysis suggests that the number of factors = 2 and the number of components = 2
[1] 2
country n
US 123
Ghana 148
Thailand 146
China 115
Vanuatu 138
Total 670
convergence not obtained in GPFoblq. 1000 iterations used.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. 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Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.An ultra-Heywood case was detected. Examine the results carefullyThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneMatrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.Matrix was not positive definite, smoothing was doneThe estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.The estimated weights for the factor scores are probably incorrect. Try a different factor score estimation method.
the condition has length > 1 and only the first element will be usedthe condition has length > 1 and only the first element will be usedthe condition has length > 1 and only the first element will be usedthe condition has length > 1 and only the first element will be usedthe condition has length > 1 and only the first element will be used
country n
US 117
Ghana 150
Thailand 152
China 131
Vanuatu 143
Total 693
Error in saveRDS(pa_outcomes_dist_children, file = "../results/pa_outcomes_dist_children_demobal.RDS") :
object 'pa_outcomes_dist_children' not found
See All samples, below.